Kolja Thormann
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View article: Indoor Localization based on Short-Range Radar and Rotating Landmarks
Indoor Localization based on Short-Range Radar and Rotating Landmarks Open
A novel concept for indoor self-localization based on rotating artificial landmarks with known locations using short-range radar is proposed. First, a processing pipeline for extracting range and angle measurements to the landmarks from a …
View article: Indoor Localization based on Short-Range Radar and Rotating Landmarks
Indoor Localization based on Short-Range Radar and Rotating Landmarks Open
A novel concept for indoor self-localization based on relative position measurements to rotating artificial landmarks (with known positions) using short-range radar is proposed. This includes a complete processing pipeline for extracting d…
View article: ImputAccur: fast and user-friendly calculation of genotype-imputation accuracy-measures
ImputAccur: fast and user-friendly calculation of genotype-imputation accuracy-measures Open
Background ImputAccur is a software tool to measure genotype-imputation accuracy. Imputation of untyped markers is a standard approach in genome-wide association studies to close the gap between directly genotyped and other known DNA varia…
View article: Track-to- Track Fusion for Elliptical Extended Targets Parameterized with Orientation and Semi-Axes Lengths
Track-to- Track Fusion for Elliptical Extended Targets Parameterized with Orientation and Semi-Axes Lengths Open
Track-to-track fusion considers the problem of fusing multiple tracks (e.g., from different sensor nodes) of the same target object. In case the spatial extent of the target object is estimated, unique challenges for the track-to-track fus…
View article: CNN-based Shape Estimation for Extended Object Tracking using Point Cloud Measurements
CNN-based Shape Estimation for Extended Object Tracking using Point Cloud Measurements Open
Simultaneously estimating the kinematic properties and the spatial extent of an object based on noisy point clouds is a ubiquitous problem in a variety of environment perception applications. For this purpose, we propose a novel approach f…
View article: <i>ImputAccur:</i> fast and user-friendly calculation of genotype-imputation accuracy-measures
<i>ImputAccur:</i> fast and user-friendly calculation of genotype-imputation accuracy-measures Open
Summary ImputAccur is a software tool for genotype-imputation accuracy-measures. Imputation of untyped markers is a standard approach in genome-wide association studies to close the gap between directly genotyped and other known DNA varian…
View article: Tracking and Fusion Methods for Extended Targets Parameterized by Center, Orientation, and Semi-axes
Tracking and Fusion Methods for Extended Targets Parameterized by Center, Orientation, and Semi-axes Open
The improvements in sensor technology, e.g., the development of automotive Radio Detection and
\nRanging (RADAR) or Light Detection and Ranging (LIDAR), which are able to provide a higher
\ndetail of the sensor’s environment, have introduc…
View article: Incorporating Range Rate Measurements in EKF-based Elliptical Extended Object Tracking
Incorporating Range Rate Measurements in EKF-based Elliptical Extended Object Tracking Open
This work deals with the tracking of an elliptical extended object using radar measurements. We model the ellipse using the orientation and semi-axes as individual state parameters. The radar measurements typically consist of range, bearin…
View article: Kalman Filter Based Extended Object Tracking with a Gaussian Mixture Spatial Distribution Model
Kalman Filter Based Extended Object Tracking with a Gaussian Mixture Spatial Distribution Model Open
Extended object tracking methods are often based on the assumption that the measurements are uniformly distributed on the target object. However, this assumption is often invalid for applications using automotive radar or lidar data. Inste…
View article: Fusion of Elliptical Extended Object Estimates Parameterized With Orientation and Axes Lengths
Fusion of Elliptical Extended Object Estimates Parameterized With Orientation and Axes Lengths Open
This article considers the tracking of elliptical extended targets parameterized by center, orientation, and semiaxes. The focus of this article lies on the fusion of extended target estimates, e.g., from multiple sensors, by handling the …
View article: Fusion of Elliptical Extended Object Estimates Parameterized with Orientation and Axes Lengths
Fusion of Elliptical Extended Object Estimates Parameterized with Orientation and Axes Lengths Open
This article considers the fusion of target estimates stemming from multiple sensors, where the spatial extent of the targets is incorporated. The target estimates are represented as ellipses parameterized with center orientation and semi-…
View article: Fusion of Elliptical Extended Object Estimates Parameterized with Orientation and Axes Lengths
Fusion of Elliptical Extended Object Estimates Parameterized with Orientation and Axes Lengths Open
This article considers the fusion of target estimates stemming from multiple sensors, where the spatial extent of the targets is incorporated. The target estimates are represented as ellipses parameterized with center orientation and semi-…
View article: A Comparison of Kalman Filter-based Approaches for Elliptic Extended Object Tracking
A Comparison of Kalman Filter-based Approaches for Elliptic Extended Object Tracking Open
In this work, we discuss and compare Kalman filter-based approaches for tracking an elliptic extended object parameterized with orientation and semi-axes lengths. The methods include an Extended Kalman filter (EKF) implementation of the Ra…
View article: Fusion of Elliptical Extended Object Estimates Parameterized with Orientation and Axes Lengths
Fusion of Elliptical Extended Object Estimates Parameterized with Orientation and Axes Lengths Open
This article considers the fusion of target estimates stemming from multiple sensors, where the spatial extent of the targets is incorporated. The target estimates are represented as ellipses parameterized with center orientation and semi-…
View article: Fusion of Elliptical Extended Object Estimates Parameterized with Orientation and Axes Lengths
Fusion of Elliptical Extended Object Estimates Parameterized with Orientation and Axes Lengths Open
This article considers the fusion of target estimates stemming from multiple sensors, where the spatial extent of the targets is incorporated. The target estimates are represented as ellipses parameterized with center orientation and semi-…
View article: Optimal Fusion of Elliptic Extended Target Estimates based on the\n Wasserstein Distance
Optimal Fusion of Elliptic Extended Target Estimates based on the\n Wasserstein Distance Open
This paper considers the fusion of multiple estimates of a spatially extended\nobject, where the object extent is modeled as an ellipse parameterized by the\norientation and semiaxes lengths. For this purpose, we propose a novel\nsystemati…
View article: Optimal Fusion of Elliptic Extended Target Estimates based on the Wasserstein Distance
Optimal Fusion of Elliptic Extended Target Estimates based on the Wasserstein Distance Open
This paper considers the fusion of multiple estimates of a spatially extended object, where the object extent is modeled as an ellipse parameterized by the orientation and semiaxes lengths. For this purpose, we propose a novel systematic a…